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2020 – today
- 2024
[c26]Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West:
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) 2024: 6828-6844- [c25]Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar:
Teaching Language Models to Hallucinate Less with Synthetic Tasks. ICLR 2024 - [c24]Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi:
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR 2024 - [i40]Shima Imani, Hamid Palangi:
Exploring Group and Symmetry Principles in Large Language Models. CoRR abs/2402.06120 (2024) - [i39]Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen:
Improving Black-box Robustness with In-Context Rewriting. CoRR abs/2402.08225 (2024) - [i38]Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi:
Eureka: Evaluating and Understanding Large Foundation Models. CoRR abs/2409.10566 (2024) - [i37]Elliot L. Epstein, Kaisheng Yao, Jing Li, Xinyi Bai, Hamid Palangi:
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark. CoRR abs/2409.18216 (2024) - [i36]Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. CoRR abs/2410.11163 (2024) - 2023
- [c23]Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. AAAI 2023: 14593-14601 - [c22]Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour:
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. ACL (Findings) 2023: 5448-5458 - [c21]Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat:
A Large-Scale Robustness Analysis of Video Action Recognition Models. CVPR 2023: 14698-14708 - [c20]Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman:
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. ICML 2023: 39365-39379 - [c19]Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang
, Radames Cruz Moreno, Hamed Khanpour:
Improving the Reusability of Pre-trained Language Models in Real-world Applications. IRI 2023: 40-45 - [c18]Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi:
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. NeurIPS 2023 - [c17]Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson:
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS 2023 - [i35]Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah:
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models. CoRR abs/2301.09211 (2023) - [i34]Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang:
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR abs/2303.12712 (2023) - [i33]Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman:
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. CoRR abs/2304.03916 (2023) - [i32]Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah:
Orca: Progressive Learning from Complex Explanation Traces of GPT-4. CoRR abs/2306.02707 (2023) - [i31]Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour:
Improving Pre-trained Language Models' Generalization. CoRR abs/2307.10457 (2023) - [i30]Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour:
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. CoRR abs/2307.10522 (2023) - [i29]Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi:
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR abs/2309.15098 (2023) - [i28]Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson:
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR abs/2309.15129 (2023) - [i27]Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Awadallah, Ece Kamar:
Teaching Language Models to Hallucinate Less with Synthetic Tasks. CoRR abs/2310.06827 (2023) - [i26]Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi:
Diversity of Thought Improves Reasoning Abilities of Large Language Models. CoRR abs/2310.07088 (2023) - [i25]Ahmed Magooda, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla, Emily Sheng, Dan Vann, Richard Edgar, Hamid Palangi, Roman Lutz, Hongliang Kong, Vincent Yun, Eslam Kamal, Federico Zarfati, Hanna M. Wallach, Sarah Bird, Mei Chen:
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. CoRR abs/2310.17750 (2023) - [i24]Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andrés Codas, Clarisse Simões, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah:
Orca 2: Teaching Small Language Models How to Reason. CoRR abs/2311.11045 (2023) - [i23]Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West:
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR abs/2312.02073 (2023) - 2022
- [c16]Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar:
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. ACL (1) 2022: 3309-3326 - [c15]Saadia Gabriel, Hamid Palangi, Yejin Choi:
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP (Findings) 2022: 5635-5645 - [c14]Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet:
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. NeurIPS 2022 - [i22]Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar:
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. CoRR abs/2203.09509 (2022) - [i21]Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat:
Large-scale Robustness Analysis of Video Action Recognition Models. CoRR abs/2207.01398 (2022) - [i20]Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet:
Multi-modal Robustness Analysis Against Language and Visual Perturbations. CoRR abs/2207.02159 (2022) - [i19]Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky:
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR abs/2208.06061 (2022) - [i18]Saadia Gabriel, Hamid Palangi, Yejin Choi:
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? CoRR abs/2211.04364 (2022) - [i17]Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi:
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. CoRR abs/2211.11031 (2022) - [i16]Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR abs/2211.11109 (2022) - [i15]Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang:
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR abs/2212.10015 (2022) - 2021
- [c13]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional processing emerges in neural networks solving math problems. CogSci 2021 - [c12]Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao:
NICE: Neural Image Commenting with Empathy. EMNLP (Findings) 2021: 4456-4472 - [c11]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. NAACL-HLT 2021: 4780-4793 - [i14]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR abs/2105.08961 (2021) - [i13]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. CoRR abs/2106.01317 (2021) - 2020
- [c10]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. AAAI 2020: 13041-13049 - [c9]Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida:
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". ICML 2020: 279-290 - [c8]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Mapping natural-language problems to formal-language solutions using structured neural representations. ICML 2020: 1566-1575 - [i12]Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang:
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR abs/2005.11406 (2020) - [i11]Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida:
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". CoRR abs/2006.11524 (2020) - [i10]Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang:
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR abs/2011.09530 (2020)
2010 – 2019
- 2019
- [i9]Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao:
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. CoRR abs/1909.09953 (2019) - [i8]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. CoRR abs/1909.11059 (2019) - [i7]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Natural- to formal-language generation using Tensor Product Representations. CoRR abs/1910.02339 (2019) - [i6]Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao:
HUBERT Untangles BERT to Improve Transfer across NLP Tasks. CoRR abs/1910.12647 (2019) - 2018
- [j5]Yongwei Wang, Hamid Palangi, Z. Jane Wang, Haoqian Wang:
RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval. Signal Process. Image Commun. 68: 68-75 (2018) - [c7]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Question-Answering with Grammatically-Interpretable Representations. AAAI 2018: 5350-5357 - [c6]Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward:
Robust Detection of Epileptic Seizures Using Deep Neural Networks. ICASSP 2018: 2546-2550 - 2017
- [j4]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Convolutional Deep Stacking Networks for distributed compressive sensing. Signal Process. 131: 181-189 (2017) - [i5]Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. CoRR abs/1705.08432 (2017) - 2016
- [j3]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [j2]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. IEEE Trans. Signal Process. 64(17): 4504-4518 (2016) - [c5]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory. GlobalSIP 2016: 192-196 - [c4]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. ICASSP 2016: 2692-2696 - 2015
- [i4]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i3]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. CoRR abs/1508.04924 (2015) - 2014
- [c3]Hamid Palangi, Li Deng, Rabab K. Ward:
Recurrent Deep-Stacking Networks for sequence classification. ChinaSIP 2014: 510-514 - [i2]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [c2]Hamid Palangi, Rabab K. Ward, Li Deng:
Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors. ICASSP 2013: 3337-3341 - [i1]Hamid Palangi, Li Deng, Rabab K. Ward:
Learning Input and Recurrent Weight Matrices in Echo State Networks. CoRR abs/1311.2987 (2013) - 2010
- [j1]Mohammad Shams Esfand Abadi, Hamid Palangi:
Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms. Signal Process. 90(1): 197-206 (2010)
2000 – 2009
- 2009
- [c1]Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten:
Image Coding and Compression with Sparse 3D Discrete Cosine Transform. ICA 2009: 532-539
Coauthor Index
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